Delete rows from a data frame with NA’s

Here is how to delete all the rows from a dataframe where any of the column value had the value NA.

For Example, this is my data frame:

> data
   col1   col2   col3
1   262 162513     NA
2   760  23052  23052
3   761   1000     NA
4   763   1001   1001
5   764  13592  13592
6   765     NA 165340
7   771   1002     NA
8   772   1003   1003
9   779  21542  21542
10  780   1004   1004

Now i wish to delete all the rows that has col3 value NA. 

Solution 1: Using a for loop and going row by row and checking
for col3's value as NA

for(i in 1:nrow(data)){
	if(is.na(data$col3[i])){
		data < - data[-i,]
	}
}

Result:

> data
   col1  col2   col3
2   760 23052  23052
4   763  1001   1001
5   764 13592  13592
6   765    NA 165340
8   772  1003   1003
9   779 21542  21542
10  780  1004   1004

Solution 2: dataFrame < - dataFrame[!is.na(dataFrame$columnName),]

//dataFrame is the data frame you are working on and
columnName is the column you wish to delete with value NA.

> data < - data[!is.na(data$col3),]

Result:

> data
   col1  col2   col3
2   760 23052  23052
4   763  1001   1001
5   764 13592  13592
6   765    NA 165340
8   772  1003   1003
9   779 21542  21542
10  780  1004   1004